Examples of using A machine learning in English and their translations into Hebrew
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As there is a machine learning algorithm in this--(Applause).
Dr. Eyal Gruss is a poet,a new media artist, and a machine learning researcher.
As there is a machine learning algorithm in this--(Applause) Thank you.
(In Chinese)(Applause) Jeremy Howard: Well, that was at a machine learning conference in China.
SAIPS is a machine learning and vision solutions company acquired by Ford three years ago.
People also translate
(2010) used the Galaxy Zoo classifications to train a machine learning model to do galaxy classification.
We have created a machine learning algorithm, which is capable of predicting the chance of a student course dropout with 92% accuracy.
We pose the problem of determining an alpha channel of an image as a machine learning task.
We're talking about a machine learning algorithm, which is created by the computer and not by an engineer.
Then the researchers used those labeled tweets as training data for a machine learning engine and tested its predictions.
Deep learning is a machine learning method that trains systems by using large amounts of data and multiple layers of processing.
It's also possible that people, even just within ALS,sound too different to have such a machine learning model in place.
First, for the people in both data sources, build a machine learning model that uses digital trace data to predict survey answers.
So Arthur Samuel was the father of machine learning, and I havea great debt to him, because I am a machine learning practitioner.
First, for the people in both data sources, build a machine learning model that uses digital trace data to predict survey answers.
The course was a significant leap forward for me in my career and made me jump from being a Q.A. software engineer to a Python developer in a machine learning start-up company.
Deep Learning Neural Network is a machine learning technique that teaches computers to do what comes naturally to humans:learn by example.
Researchers interested in creating what I have called computer-assisted human computation systems(e.g.,systems that use human labels to train a machine learning model) might be interested in Shamir et al.
MobileODT worked with the National Cancer Institute to develop a machine learning algorithm, called automatic visual evaluation(AVE), that can produce an accurate diagnosis in minutes.
Researchers interested in creating what I have called computer-assisted human computation systems(e.g.,systems that use human labels to train a machine learning model) might be interested in Shamir et al.
As a result, a machine learning model was build, that is capable of predicting the risk ofa student dropout through analysing the given student activity on a learning platform.
Then, King and colleagues used this hand-labeled data to estimate a machine learning model that could infer the sentiment of a post based on its characteristics.
That's why we're adding a machine learning platform to our array of behind-the-scenes tools so that the more than 80,000 people of Delta can even more quickly and effectively solve problems, even in the most challenging situations.".
Given this possibility,Blumenstock asked whether it was possible to train a machine learning model to predict how someone will respond to a survey based on their call records.
Reinforcement learning is a machine learning technique where a system evaluates the responses to individual actions as either positive or negative and through trial and error the system aims to maximize the volume of positive responses to its actions.
Building a machine learning model that can correctly reproduce the human classifications is itself a hard problem, but fortunately there are already excellent books dedicated to this topic(Hastie, Tibshirani, and Friedman 2009; Murphy 2012; James et al. 2013).
We have the ability to twiddle some nobs in a machine learning dashboard we build, and around the world hundreds of thousands of people are going to quietly change their behavior in ways that, unbeknownst to them, feel second-nature but are really by design.
SafeRide's CAN Optimizer is a machine learning based solution that dramatically decreases the bandwidth needed to upload CAN data to the cloud providing over 95% reduction in data size, with a typical lossless compression ratio more than 5 times better than other compression algorithms that are currently on the market.